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πŸ”₯ Senior Data Engineer
Posted about 1 hour ago

πŸ“ United States

πŸ’Έ 144000.0 - 180000.0 USD per year

πŸ” Software Development

🏒 Company: HungryrootπŸ‘₯ 101-250πŸ’° $40,000,000 Series C almost 4 years agoArtificial Intelligence (AI)Food and BeverageE-CommerceRetailConsumer GoodsSoftware

  • 5+ years of experience in ETL development and data modeling
  • 5+ years of experience in both Scala and Python
  • 5+ years of experience in Spark
  • Excellent problem-solving skills and the ability to translate business problems into practical solutions
  • 2+ years of experience working with the Databricks Platform
  • Develop pipelines in Spark (Python + Scala) in the Databricks Platform
  • Build cross-functional working relationships with business partners in Food Analytics, Operations, Marketing, and Web/App Development teams to power pipeline development for the business
  • Ensure system reliability and performance
  • Deploy and maintain data pipelines in production
  • Set an example of code quality, data quality, and best practices
  • Work with Analysts and Data Engineers to enable high quality self-service analytics for all of Hungryroot
  • Investigate datasets to answer business questions, ensuring data quality and business assumptions are understood before deploying a pipeline

AWSPythonSQLApache AirflowData MiningETLSnowflakeAlgorithmsAmazon Web ServicesData engineeringData StructuresSparkCI/CDRESTful APIsMicroservicesJSONScalaData visualizationData modelingData analyticsData management

Posted about 1 hour ago
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πŸ”₯ Solutions Architect
Posted about 1 hour ago

πŸ“ United States, Latin America, India

πŸ” Software Development

  • 8+ years as a hands-on Solutions Architect and/or Data Engineer
  • Programming expertise in Java, Python and/or Scala
  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • SQL and the ability to write, debug, and optimize SQL queries
  • 4-year Bachelor's degree in Computer Science or a related field
  • Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
  • Design and implement data solutions
  • Lead and/or mentor other engineers
  • Develop end-to-end technical solutions into production β€” and to help ensure performance, security, scalability, and robust data integration
  • Programming expertise in Java, Python and/or Scala
  • Client-facing written and verbal communication skills and experience
  • Create and deliver detailed presentations
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWSLeadershipPythonSQLCloud ComputingETLGCPJavaSnowflakeAzureData engineeringREST APISparkPresentation skillsDocumentationClient relationship managementScalaData visualizationMentorshipData modeling

Posted about 1 hour ago
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πŸ“ United States

πŸ’Έ 123000.0 - 235900.0 USD per year

πŸ” Data/AI

  • 7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
  • Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
  • Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
  • Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
  • Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
  • [Preferred] Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers.
  • [Preferred] Databricks certification or experience with Apache Sparkβ„’, MLflow, Delta Lake, and other open-source technologies.
  • Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
  • Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
  • Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
  • Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
  • Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
  • Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
  • Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWSPythonSQLArtificial IntelligenceCloud ComputingETLMachine LearningMLFlowCross-functional Team LeadershipAPI testingData engineeringData scienceREST APICommunication SkillsData visualizationStakeholder managementData analytics

Posted about 1 hour ago
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πŸ“ United States

πŸ’Έ 135000.0 - 155000.0 USD per year

πŸ” Software Development

🏒 Company: JobgetherπŸ‘₯ 11-50πŸ’° $1,493,585 Seed about 2 years agoInternet

  • 8+ years of experience as a data engineer, with a strong background in data lake systems and cloud technologies.
  • 4+ years of hands-on experience with AWS technologies, including S3, Redshift, EMR, Kafka, and Spark.
  • Proficient in Python or Node.js for developing data pipelines and creating ETLs.
  • Strong experience with data integration and frameworks like Informatica and Python/Scala.
  • Expertise in creating and managing AWS services (EC2, S3, Lambda, etc.) in a production environment.
  • Solid understanding of Agile methodologies and software development practices.
  • Strong analytical and communication skills, with the ability to influence both IT and business teams.
  • Design and develop scalable data pipelines that integrate enterprise systems and third-party data sources.
  • Build and maintain data infrastructure to ensure speed, accuracy, and uptime.
  • Collaborate with data science teams to build feature engineering pipelines and support machine learning initiatives.
  • Work with AWS cloud technologies like S3, Redshift, and Spark to create a world-class data mesh environment.
  • Ensure proper data governance and implement data quality checks and lineage at every stage of the pipeline.
  • Develop and maintain ETL processes using AWS Glue, Lambda, and other AWS services.
  • Integrate third-party data sources and APIs into the data ecosystem.

AWSNode.jsPythonSQLETLKafkaData engineeringSparkAgile methodologiesScalaData modelingData management

Posted about 3 hours ago
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πŸ“ Argentina, Brazil, Mexico

🧭 Full-Time

🏒 Company: In All Media Inc

  • Strong proficiency in SQL and Python for data manipulation and automation.
  • Extensive experience in ETL development and working with finance-related data.
  • Familiarity with DBT and Snowflake for data modeling and pipeline development.
  • Solid background in finance, accounting, or business analysis with a deep understanding of financial reporting processes.
  • Proven experience working with business intelligence tools such as Tableau.
  • Excellent communication skills with the ability to present complex data in a clear, concise manner.
  • Strong problem-solving skills and the ability to work under tight deadlines, particularly during financial close periods.
  • Design, develop, and maintain ETL pipelines to automate data workflows and ensure seamless integration of financial data.
  • Collaborate with Finance, Accounting, and Tax teams to enhance reporting accuracy, ensure compliance with financial regulations, and deliver actionable insights.
  • Work with financial data to improve data integrity and automate key processes to support financial close periods.
  • Develop and manage interactive dashboards using business intelligence tools (e.g., Tableau) to provide timely, actionable insights for leadership.
  • Support the development and implementation of data models and data pipelines using DBT and Snowflake.
  • Provide business analysis and data storytelling to support data-driven decision-making and process optimization initiatives.
  • Actively engage in problem-solving sessions and contribute ideas to streamline financial reporting processes.
  • Ensure compliance with financial regulations and internal policies regarding data management.

PythonSQLBusiness IntelligenceETLSnowflakeTableauFinancial ManagementAccountingData visualizationFinancial analysisData modelingFinanceData analyticsData management

Posted about 7 hours ago
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πŸ“ United States, Latin America, India

πŸ” Software Development

  • At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
  • Programming expertise in Java, Python and/or Scala
  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • SQL and the ability to write, debug, and optimize SQL queries
  • Client-facing written and verbal communication skills and experience
  • 4-year Bachelor's degree in Computer Science or a related field
  • Develop end-to-end technical solutions into production β€” and to help ensure performance, security, scalability, and robust data integration.
  • Create and deliver detailed presentations
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWSPythonSQLCloud ComputingData AnalysisETLGCPJavaKafkaSnowflakeAirflowAzureData engineeringSparkCommunication SkillsScalaData modelingSoftware Engineering

Posted about 7 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 125000.0 - 135000.0 USD per year

πŸ” Software Development

  • 5-10 yrs of proven track record of successfully selling enterprise software solutions and increasing revenue through new customer acquisition
  • Solution selling of a disruptive technology in the data infrastructure space
  • Firm understanding of the modern data infrastructure such as the open source community and the various enterprise software (business intelligence, analytics, ETL, cloud infrastructure, etc.) products
  • Demonstrated ability to sell to CXO or line of business, successfully emphasizing business value versus product
  • Strong ability to connect with customers to understand their individual business needs
  • B.S. degree or equivalent in a related field
  • Develop and execute territory account plans to achieve revenue targets
  • Lead multiple customer sales cycles and effectively close new business (hunter mentality with the ability to sign new logos)
  • Manage and grow large, enterprise accounts, converting them to strategic accounts
  • Effectively partner with Sales & Value Engineering, Sales Development, and Field Marketing
  • Develop relationships with Channel partners with a focus on driving pipeline and co-selling
  • Quickly learn our software products and be able to clearly communicate the value proposition
  • Develop strong relationships with key decision-makers, influencers, and partners within your territory
  • Travel within your assigned territory

SQLBusiness IntelligenceCloud ComputingETLSalesforceRESTful APIsAccount ManagementClient relationship managementSales experienceCRM

Posted about 7 hours ago
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πŸ“ Mexico, Brazil, Argentina, Colombia, Puerto Rico

🧭 Full-Time

πŸ” B2B SAAS

🏒 Company: Activate Talent

  • Strong analytical and problem-solving skills.
  • Proficiency in SQL
  • Experience with Looker or other data visualization tools.
  • Familiarity with statistical concepts and techniques.
  • Self-starter with a proven ability to quickly learn new technologies, tools, and analytical methodologies independently.
  • Passion for B2B SAAS.
  • Collect and clean data from various sources, including databases, APIs, and spreadsheets.
  • Perform exploratory data analysis to identify patterns, trends, and insights.
  • Build dashboards and reports to visualize data and communicate findings to stakeholders.
  • Support the development of data-driven models and algorithms.
  • Conduct ad-hoc data analysis to answer specific business questions.
  • Collaborate with other team members to ensure data quality and consistency.
  • Stay up-to-date on the latest data analysis techniques and tools.

SQLData AnalysisData MiningETLAlgorithmsData engineeringData StructuresREST APIPandasCommunication SkillsAnalytical SkillsProblem SolvingReportingData visualizationTechnical supportData modelingData analyticsData managementEnglish communicationA/B testing

Posted about 8 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 240000.0 - 265000.0 USD per year

πŸ” Software Development

🏒 Company: TRM LabsπŸ‘₯ 101-250πŸ’° $70,000,000 Series B over 2 years agoCryptocurrencyComplianceBlockchainBig Data

  • 7+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
  • Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
  • In-depth experience with data stores such as Icerberg, Trino, BigQuery, and StarRocks, and Citus.
  • Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc.
  • Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
  • Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
  • Proven ability in loading, querying, and transforming extensive datasets.
  • Build highly reliable data services to integrate with dozens of blockchains.
  • Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
  • Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
  • Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability.
  • Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

AWSDockerPythonSQLCloud ComputingETLKafkaKubernetesAirflowData engineeringPostgresSparkTerraformData modeling

Posted about 8 hours ago
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πŸ“ United States, Canada

🧭 Full-Time

πŸ’Έ 125000.0 - 135000.0 USD per year

πŸ” Software Development

🏒 Company: SingleStoreπŸ‘₯ 251-500πŸ’° $30,000,000 Series F over 2 years agoDatabaseCloud Data ServicesBig DataAnalyticsEnterprise SoftwareSoftware

  • 5-10 yrs of proven track record of successfully selling enterprise software solutions and increasing revenue through new customer acquisition
  • Solution selling of a disruptive technology in the data infrastructure space
  • Firm understanding of the modern data infrastructure such as the open source community and the various enterprise software (business intelligence, analytics, ETL, cloud infrastructure, etc.) products
  • Demonstrated ability to sell to CXO or line of business, successfully emphasizing business value versus product
  • Strong ability to connect with customers to understand their individual business needs
  • B.S. degree or equivalent in a related field
  • Develop and execute territory account plans to achieve revenue targets
  • Lead multiple customer sales cycles and effectively close new business (hunter mentality with the ability to sign new logos)
  • Manage and grow large, enterprise accounts, converting them to strategic accounts
  • Effectively partner with Sales & Value Engineering, Sales Development, and Field Marketing
  • Develop relationships with Channel partners with a focus on driving pipeline and co-selling
  • Quickly learn our software products and be able to clearly communicate the value proposition
  • Develop strong relationships with key decision-makers, influencers, and partners within your territory
  • Travel within your assigned territory

SQLBusiness IntelligenceCloud ComputingETLAccount ManagementSales experienceCRM

Posted about 18 hours ago
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